Chunbin Qin
Orcid: 0000-0002-8238-5922
According to our database1,
Chunbin Qin
authored at least 25 papers
between 2013 and 2024.
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Bibliography
2024
Neural-network-based safe learning control for non-zero-sum differential games of nonlinear systems with asymmetric input constraints.
Appl. Intell., September, 2024
Barrier-Critic Adaptive Robust Control of Nonzero-Sum Differential Games for Uncertain Nonlinear Systems With State Constraints.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
Dynamic event-triggered robust safety control for multiplayer fully cooperative games with mismatched uncertainties and asymmetric input constraints.
Appl. Intell., January, 2024
Integral reinforcement learning-based dynamic event-triggered safety control for multiplayer Stackelberg-Nash games with time-varying state constraints.
Eng. Appl. Artif. Intell., 2024
Parallel learning-based security robust tracking control for nonlinear systems with uncertainties: An event-triggered design.
Eng. Appl. Artif. Intell., 2024
2023
An efficient lightweight convolutional neural network for industrial surface defect detection.
Artif. Intell. Rev., September, 2023
Reinforcement Learning-Based Decentralized Safety Control for Constrained Interconnected Nonlinear Safety-Critical Systems.
Entropy, August, 2023
Critic Learning-Based Safe Optimal Control for Nonlinear Systems with Asymmetric Input Constraints and Unmatched Disturbances.
Entropy, July, 2023
Adaptive optimal safety tracking control for multiplayer mixed zero-sum games of continuous-time systems.
Appl. Intell., July, 2023
2022
Robust Trajectory Tracking Control for Continuous-Time Nonlinear Systems with State Constraints and Uncertain Disturbances.
Entropy, June, 2022
J. Comput. Des. Eng., 2022
Neural network-based safe optimal robust control for affine nonlinear systems with unmatched disturbances.
Neurocomputing, 2022
Entropy, 2022
Event-Triggered Safe Control for the Zero-Sum Game of Nonlinear Safety-Critical Systems With Input Saturation.
IEEE Access, 2022
Integral Reinforcement Learning for Tracking in a Class of Partially Unknown Linear Systems With Output Constraints and External Disturbances.
IEEE Access, 2022
2018
Mathematical model analysis of an intelligent control system for open architecture robots.
J. Intell. Fuzzy Syst., 2018
2017
Finite Horizon Optimal Tracking Control for Nonlinear Discrete-Time Switched Systems.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Neural network-based online H<sub>∞</sub> control for discrete-time affine nonlinear system using adaptive dynamic programming.
Neurocomputing, 2016
2014
Online Adaptive Policy Learning Algorithm for H<sub>∞</sub> State Feedback Control of Unknown Affine Nonlinear Discrete-Time Systems.
IEEE Trans. Cybern., 2014
Neural-Network-Based Constrained Optimal Control Scheme for Discrete-Time Switched Nonlinear System Using Dual Heuristic Programming.
IEEE Trans Autom. Sci. Eng., 2014
Optimal tracking control of a class of nonlinear discrete-time switched systems using adaptive dynamic programming.
Neural Comput. Appl., 2014
Finite horizon optimal control of non-linear discrete-time switched systems using adaptive dynamic programming with ε-error bound.
Int. J. Syst. Sci., 2014
Online optimal tracking control of continuous-time linear systems with unknown dynamics by using adaptive dynamic programming.
Int. J. Control, 2014
Model-free adaptive dynamic programming for online optimal solution of the unknown nonlinear zero-sum differential game.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013